Intelligent regulation and control method and system for local chicken breeding environment
By dynamically adjusting the environmental parameter values of native chicken brooding and growth stages, and using neural network models to analyze the changing relationship between environmental parameter values, growth performance and immunity levels, the unscientific problem of native chicken breeding is solved, the survival rate and quality of native chickens are improved, and efficient and economical breeding effects are achieved.
Patent Information
- Application Number
- CN202510192883.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-21
- Publication Date
- 2025-05-30
AI Technical Summary
The existing technology is difficult to achieve the scientific rationalization of native chicken breeding, resulting in small scale and inconcentration of breeding, low yield, high price and low profit margin, making it difficult to meet the market's demand for high-quality free-range chickens.
By obtaining the caloric demand and environmental parameter values in the brooding and growth stage of native chickens, the neural network model is used to analyze the changing relationship between environmental parameter values, growth performance and immune levels, and dynamically adjust the environmental parameter values in the brooding and growth stage to achieve the best growth performance and immune levels.
It has realized intelligent regulation of the breeding environment of native chickens, improved the survival rate and quality of native chickens, reduced breeding costs, increased the income of farmers, and provided high-quality and reasonable-priced free-range chickens.
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Figure CN120066163A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent environmental regulation, and particularly to an intelligent environmental regulation method and system for free-range chicken breeding. Background Art
[0002] Free-range chickens are a type of poultry, different from caged broiler chickens. They refer to chickens raised in mountain forests and orchards. Free-range chickens have characteristics such as being able to tolerate roughage, having a strong brooding instinct, and strong disease resistance. Moreover, the meat of free-range chickens is delicious, the eggs have excellent quality, and are rich in nutrition, containing abundant protein, amino acids, and gelatin protein, and also containing more trace elements and various nutrients, with a relatively low fat content, so they are more favored by consumers. During the breeding process of free-range chickens, the breeding of young free-range chickens is crucial. The digestive function of young free-range chickens is not complete, and their ability to regulate body temperature is poor, so they need to be carefully raised. And the growing free-range chickens are an important stage in the growth of free-range chickens, which is related to the yield and quality of free-range chickens.
[0003] Currently, the scale of free-range chicken breeding in rural areas is small and not concentrated. Most farmers have not received professional training, resulting in unscientific breeding methods, low yields, high prices but low profit margins. Therefore, there is an urgent need for an intelligent environmental regulation method for free-range chicken breeding to enable farmers to breed scientifically and reasonably. On the one hand, it can increase the income of farmers. On the other hand, it can provide free-range chickens in the market with reasonable prices, tender meat, delicious taste, high quality and meeting the requirements of green food, which are green and healthy, but have a long breeding time and low survival rate, making it difficult to meet people's demand for chickens. Summary of the Invention
[0004] In order to solve the problems existing in the above-mentioned prior art, the object of the present invention is to propose an intelligent environmental regulation method for free-range chicken breeding to enable farmers to breed scientifically and reasonably.
[0005] To achieve the above object, the present invention provides the following solution:
[0006] An intelligent environmental regulation method for free-range chicken breeding, comprising:
[0007] Obtain the heat demand and the current temperature during the brooding period of free-range chickens, and determine the target temperature during the brooding period of free-range chickens according to the heat demand, and adjust the current temperature until the target temperature is reached;
[0008] Obtain the environmental parameter values, growth performance, and immune levels at different historical moments during the growth period of free-range chickens, determine the change relationship between the environmental parameter values and the growth performance and immune levels during the growth period of free-range chickens according to the environmental parameter values, the growth performance, and the immune levels, and obtain the optimal environmental parameter values at different moments during the growth period of free-range chickens based on the change relationship;
[0009] Obtain the current environmental parameter values during the growth period of the native chicken, and adjust the current environmental parameter values during the growth period of the native chicken until the optimal environmental parameter values are reached.
[0010] Optionally, adjusting the current temperature until the target temperature is reached includes:
[0011] Determine whether the current temperature is consistent with the target temperature. If the current temperature is consistent with the target temperature, there is no need to adjust the power of the heating equipment. If the current temperature is not consistent with the target temperature, dynamically adjust the power of the heating equipment until the target temperature is reached.
[0012] Optionally, adjusting the current temperature until the target temperature is reached further includes:
[0013] While adjusting the current temperature, continuously perform operations such as turning eggs, cooling eggs, and candling eggs on the native chickens during the brooding period until hatching.
[0014] Optionally, the environmental parameter values include: temperature, humidity, light, and air quality;
[0015] The growth performance includes: growth rate, weight change, and feed conversion rate;
[0016] The immune level includes: analyzing immune indicators in the serum of blood samples.
[0017] Optionally, determining the change relationship between the environmental parameter values and the growth performance and immune level during the growth period of the native chicken includes:
[0018] According to the environmental parameter values, growth performance, and immune level at different historical moments during the growth period of the native chicken, determine the effective influence duration of the environmental variables during the growth period of the native chicken on the growth performance and immune level;
[0019] Obtain the environmental parameter values and the corresponding historical moments within the effective influence duration, use the environmental parameter values corresponding to the growth performance and immune level within the effective influence duration as the output layer, use the environmental parameter values and the corresponding historical moments within the effective influence duration as the input layer, train and converge the neural network model, and obtain the prediction model of the growth state of the native chicken corresponding to the growth performance and the immune level;
[0020] According to the prediction model of the growth state of the native chicken, determine the change relationship between the environmental parameter values and the growth performance and immune level during the growth period of the native chicken.
[0021] Optionally, obtaining the effective influence duration includes:
[0022] According to the environmental parameter values at different historical moments during the growth period of native chickens, obtain several peaks of the environmental parameter values and the corresponding historical moments within the historical period, and determine the duration of each adjacent peak interval period of the environmental parameter values within the historical period;
[0023] Based on the growth performance and immune level at different historical moments during the growth period of native chickens, obtain several peaks of the growth performance and the immune level and the corresponding historical moments within the historical period, and determine the duration of each adjacent peak interval period of the growth performance and the immune level within the historical period;
[0024] Perform time period duration feature matching and time period duration order feature matching on the duration of each adjacent peak interval period of the environmental parameter values within the historical period and the duration of each adjacent peak interval period of the growth performance and the immune level within the historical period, and obtain the lag duration between the change of the environmental parameter values and the change of the growth performance and the immune level during the growth period of the native chickens as the effective influence duration.
[0025] Optionally, the method further includes:
[0026] Visually display the current temperature during the brooding period of the native chickens and the current environmental parameter values during the growth period of the native chickens.
[0027] To achieve the above object, the present invention also provides an intelligent control system for the native chicken breeding environment, including:
[0028] A brooding period environment control module, configured to obtain the heat demand and the current temperature during the brooding period of the native chickens, determine the target temperature during the brooding period of the native chickens according to the heat demand, and adjust the current temperature until the target temperature is reached;
[0029] An optimal environmental parameter acquisition module, configured to obtain the environmental parameter values, growth performance, and immune level at different historical moments during the growth period of the native chickens, determine the change relationship between the environmental parameter values and the growth performance and the immune level during the growth period of the native chickens according to the environmental parameter values, the growth performance, and the immune level, and obtain the optimal environmental parameter values at different moments during the growth period of the native chickens based on the change relationship;
[0030] A growth period environment control module, configured to obtain the current environmental parameter values during the growth period of the native chickens, and adjust the current environmental parameter values during the growth period of the native chickens until the optimal environmental parameter values are reached.
[0031] Optionally, the system further includes:
[0032] A visual display module, configured to visually display the current temperature during the brooding period of the native chickens and the current environmental parameter values during the growth period of the native chickens.
[0033] The beneficial effects of the present invention are as follows:
[0034] The present invention provides an intelligent control method for the breeding environment of native chickens. First, obtain the heat demand and current temperature during the brooding period of native chickens, and determine the target temperature during the brooding period of native chickens according to the heat demand, and adjust the current temperature until the target temperature is reached; Secondly, obtain the environmental parameter values, growth performance and immune level at different historical moments during the growth period of native chickens, and determine the change relationship between the environmental parameter values and the growth performance and immune level during the growth period of native chickens according to the environmental parameter values, growth performance and immune level. Based on the change relationship, obtain the optimal environmental parameter values at different moments during the growth period of native chickens; Finally, obtain the current environmental parameter values during the growth period of native chickens, and adjust the current environmental parameter values during the growth period of native chickens until the optimal environmental parameter values are reached. By obtaining the environmental parameter values, growth performance and immune level at different historical moments during the growth period of native chickens, the present invention determines the change relationship between the environmental parameter values and the growth performance and immune level during the growth period of native chickens, and further obtains the optimal environmental parameter values at different moments during the growth period of native chickens, which helps to formulate targeted control measures and facilitates native chickens to better adapt to different requirements and environmental conditions. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0036] Figure 1 It is a flowchart of an intelligent control method for the breeding environment of native chickens according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.
[0038] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the drawings and specific embodiments.
[0039] This embodiment discloses the acquisition methods of various parameters:
[0040] Method for obtaining environmental parameter values:
[0041] 1. Measurement of temperature, humidity, light, and air quality:
[0042] Temperature and humidity: It can be measured by using a DHT11 sensor. The DHT11 is a commonly used temperature and humidity sensor that can provide measurements of relative humidity and temperature. In an embedded system, the data of the DHT11 sensor can be read by writing the corresponding driver program. For example, on the STM32 platform, the pins can be defined and the ADC channels can be initialized, and then the sensor data can be read through I2C communication.
[0043] Light: The light intensity can be measured by a photosensitive sensor, and the output of this sensor can be connected to the ADC (Analog / Digital Converter) channel of the microcontroller. By reading the ADC value, it can be converted into the value of light intensity.
[0044] Air quality: The air quality can be measured by specific air quality sensors, which can detect pollutants in the air, such as PM2.5, PM10, VOCs, etc. The output of the sensor can also be connected to the ADC channel of the microcontroller, and the air quality index can be obtained by reading the ADC value.
[0045] 2. Data reading and processing:
[0046] Reading the ADC value: Configure the ADC channel by writing a function, start the ADC conversion, and read the conversion result. For example, on the STM32 platform, the ADC channel can be configured, the conversion can be started, and the conversion completion can be waited for through polling, and finally the ADC value can be read.
[0047] Data processing: The raw ADC value read needs to be converted into the actual physical quantity value. This usually involves the conversion of the reference voltage and the ADC resolution.
[0048] Method for obtaining growth performance:
[0049] 1. Measurement of growth rate, body weight change, and feed conversion ratio:
[0050] Growth rate and body weight change: The growth rate and body weight change can be monitored by regularly weighing the animals. These data can be recorded manually or collected using an automated weighing system.
[0051] Feed conversion ratio: The feed conversion ratio (FCR) refers to the ratio of the amount of feed consumed by an animal to its weight gain. This can be calculated by recording the feed consumption and weight gain within a certain period of time.
[0052] 2. Data recording and analysis:
[0053] Data recording: Data on growth performance need to be recorded regularly, which can be done manually or using an automated data recording system.
[0054] Data analysis: The collected data can be evaluated for growth performance through statistical analysis methods, such as calculating the Average Daily Gain (ADG) and feed conversion ratio.
[0055] Methods for obtaining immune levels:
[0056] 1. Blood sample analysis:
[0057] Measurement of immune indicators: Immune levels can be evaluated by analyzing immune indicators in blood samples. This includes immunoglobulins such as IgA, IgG, IgM, and cytokines such as IL-6.
[0058] Blood sample collection: Blood samples can be obtained by methods such as venipuncture or cardiac puncture. After collection, the samples need to be properly processed, such as centrifuging to separate the serum.
[0059] 2. Determination of immune indicators:
[0060] Determination of immunoglobulins: Immunoglobulins can be determined by enzyme-linked immunosorbent assay (ELISA). This is a commonly used laboratory technique that can quantitatively analyze specific proteins in serum.
[0061] Determination of cytokines: Cytokines such as IL-6 can be determined by flow cytometry or multiplex cytokine detection techniques, which can simultaneously detect the levels of multiple cytokines.
[0062] Through the above methods, relevant parameters of environmental parameters, growth performance, and immune levels can be systematically obtained, providing data support for further analysis and application. The implementation of these methods requires combination with specific experimental conditions and equipment to ensure the accuracy and reliability of the data.
[0063] As Figure 1 shown, this embodiment discloses an intelligent control method for the breeding environment of native chickens, which is characterized by including: obtaining the heat demand and current temperature during the brooding period of native chickens, determining the target temperature during the brooding period of native chickens according to the heat demand, adjusting the current temperature until the target temperature is reached; obtaining the environmental parameter values, growth performance, and immune levels at different historical moments during the growth period of native chickens, determining the change relationship between the environmental parameter values and growth performance, immune levels during the growth period of native chickens according to the environmental parameter values, growth performance, and immune levels, and obtaining the optimal environmental parameter values at different moments during the growth period of native chickens based on the change relationship; obtaining the current environmental parameter values during the growth period of native chickens, and adjusting the current environmental parameter values during the growth period of native chickens until the optimal environmental parameter values are reached.
[0064] Further, adjusting the current temperature until the target temperature is reached includes: determining whether the current temperature is the same as the target temperature. If the current temperature is the same as the target temperature, there is no need to adjust the power of the heating device. If the current temperature is not the same as the target temperature, the power of the heating device is dynamically adjusted until the target temperature is reached.
[0065] Specifically, obtain the temperature change rate of the heating device during the brooding period of the native chickens; control the operation of the temperature control unit according to the target temperature change rate; determine whether the current temperature is the same as the target temperature. If the current temperature is the same as the target temperature, there is no need to adjust the power of the heating device. If the current temperature is not the same as the target temperature, the power of the heating device is dynamically adjusted until the target temperature is reached.
[0066] Further, adjusting the current temperature until the target temperature is reached also includes: while adjusting the current temperature, continuously performing operations such as egg turning, egg cooling, and egg candling on the native chickens during the brooding period until hatching.
[0067] Specifically, clean the native chicken eggs during the brooding period with water at 30 - 40 °C and send them to the hatching room within 30 minutes; control the temperature during the hatching process between 35 - 38 °C and the humidity between 45 - 70%, and continuously perform operations such as egg turning, egg cooling, and egg candling until hatching; transfer the hatched chicks to the brooding box 1 - 2 hours after hatching, and control the environmental temperature during the brooding process above 20 °C.
[0068] Further, the environmental parameter values include: temperature, humidity, light, and air quality; the growth performance includes: growth rate, weight change, and feed conversion rate; the immune level includes: analyzing the immune indicators in the serum of the blood sample, such as IgA, IgG, IgM, IL - 6, etc.
[0069] Further, determining the change relationship between the environmental parameter values and the growth performance and immune level during the growth period of the native chickens includes: according to the environmental parameter values, growth performance, and immune level at different historical moments during the growth period of the native chickens, determine the effective influence duration of the environmental variables during the growth period of the native chickens on the growth performance and immune level during the growth period of the native chickens; obtain the environmental parameter values and the corresponding historical moments within the effective influence duration, use the environmental parameter values corresponding to the growth performance and immune level within the effective influence duration as the output layer, use the environmental parameter values and the corresponding historical moments within the effective influence duration as the input layer, train and converge the neural network model, and obtain the prediction model of the growth state of the native chickens corresponding to the growth performance and immune level; according to the prediction model of the growth state of the native chickens, determine the change relationship between the environmental parameter values and the growth performance and immune level during the growth period of the native chickens.
[0070] Specifically, in this embodiment, it is necessary to figure out how environmental factors affect the growth and immunity of native chickens during their growth process. Specifically, in this embodiment, it is first necessary to find out which environmental factors have an impact on their growth and immunity at different stages of the growth of native chickens, and how long this impact can last. Then, this embodiment will select environmental parameters and corresponding growth and immunity data during this period, and use these data to train a neural network model until the model can accurately predict the growth state of native chickens. Finally, this embodiment can use this model to determine how environmental factors affect the growth and immunity of native chickens over time.
[0071] Further, obtaining the effective influence duration includes: obtaining several peaks of the environmental parameter values and the corresponding historical moments within the historical period according to the environmental parameter values at different historical moments during the growth period of native chickens, and determining the duration of each adjacent peak interval period of the environmental parameter values within the historical period; obtaining several peaks of the growth performance and immunity level and the corresponding historical moments within the historical period based on the growth performance and immunity level at different historical moments during the growth period of native chickens, and determining the duration of each adjacent peak interval period of the growth performance and immunity level within the historical period; performing time period duration feature matching and time period duration sequence feature matching on the duration of each adjacent peak interval period of the environmental parameter values within the historical period and the duration of each adjacent peak interval period of the growth performance and immunity level within the historical period, and obtaining the lag duration between the change of the environmental parameter values and the change of the growth performance and immunity level during the growth period of native chickens as the effective influence duration.
[0072] Specifically, first, it is necessary to find out the highest values, that is, their "peaks", of the environmental parameters, growth performance, and immunity level at different time points during the growth of native chickens, as well as the specific time when these peaks appear. Then, it is necessary to calculate the time intervals between these peaks, that is, how long it takes from one peak to the next. Specifically, this embodiment needs to first look at the highest values of the environmental parameters at different time points and the time when they appear, and then calculate the time intervals between these highest values. The same method is also used for the growth performance and immunity level of native chickens to find their highest values and times, as well as the time intervals between these highest values. Next, it is necessary to compare these time intervals to see if there is a time delay between the change of the environmental parameters and the change of the growth performance and immunity level of native chickens. That is to say, whether the change of the environmental parameters occurs before or after the growth and immune responses of native chickens. By comparing these time intervals, the effective duration of the impact of environmental parameter changes on the growth and immunity of native chickens can be determined, that is, the time range of the impact of environmental changes on native chickens.
[0073] Further, the method further includes: visually displaying the current temperature during the brooding period of native chickens and the current environmental parameter values during the growth period of native chickens.
[0074] This embodiment also discloses an intelligent control system for the breeding environment of native chickens, including: a brooding period environment control module, which is used to obtain the heat demand and current temperature during the brooding period of native chickens, determine the target temperature during the brooding period of native chickens according to the heat demand, and adjust the current temperature until the target temperature is reached; an optimal environment parameter acquisition module, which is used to obtain the environmental parameter values, growth performance and immune level at different historical moments during the growth period of native chickens, determine the change relationship between the environmental parameter values and the growth performance and immune level during the growth period of native chickens according to the environmental parameter values, growth performance and immune level, and obtain the optimal environmental parameter values at different moments during the growth period of native chickens based on the change relationship; a growth period environment control module, which is used to obtain the current environmental parameter values during the growth period of native chickens and adjust the current environmental parameter values during the growth period of native chickens until the optimal environmental parameter values are reached.
[0075] Furthermore, the system also includes: a visualization display module, which is used to visually display the current temperature during the brooding period of native chickens and the current environmental parameter values during the growth period of native chickens.
[0076] The above-described embodiments are only descriptions of the preferred embodiments of the present invention, and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, various deformations and improvements made by those of ordinary skill in the art to the technical solutions of the present invention shall fall within the protection scope determined by the claims of the present invention.
Claims
1. A method for intelligently controlling a native chicken breeding environment, characterized in that: include: Obtaining the heat demand and current temperature of native chickens during the brooding period, determining the target temperature of the native chickens during the brooding period according to the heat demand, and adjusting the current temperature until the target temperature is reached; Obtain environmental parameter values, growth performance and immune levels at different historical moments during the growth period of native chickens, determine the change relationship between the environmental parameter values and the growth performance and immune level during the growth period of the native chickens according to the environmental parameter values, the growth performance and the immune level, and obtain the optimal environmental parameter values at different moments during the growth period of the native chickens based on the change relationship; The current environmental parameter value of the native chicken during the growth period is obtained, and the current environmental parameter value of the native chicken during the growth period is adjusted until the optimal environmental parameter value is reached.
2. The method for intelligently controlling the native chicken breeding environment according to claim 1, characterized in that: Adjusting the current temperature until reaching the target temperature includes: Determine whether the current temperature is consistent with the target temperature. If the current temperature is consistent with the target temperature, there is no need to adjust the power of the heating device. If the current temperature is inconsistent with the target temperature, dynamically adjust the power of the heating device until the target temperature is reached.
3. The method for intelligently controlling the native chicken breeding environment according to claim 1, characterized in that: Adjusting the current temperature until the target temperature is reached further includes: While adjusting the current temperature, the native chickens in the brooding period are continuously subjected to the operations of egg turning, egg cooling and egg lighting until the chicks are hatched.
4. The method for intelligently controlling the native chicken breeding environment according to claim 1, characterized in that: The environmental parameter values include: temperature, humidity, light and air quality; The growth performance includes: growth rate, body weight change and feed conversion rate; The immune level includes: immune indicators in serum analyzed by blood sample.
5. The method for intelligently controlling the native chicken breeding environment according to claim 1, characterized in that: Determining the relationship between the environmental parameter values and the growth performance and immune level during the growth period of the native chickens includes: According to the environmental parameter values, growth performance and immune level at different historical moments during the growth period of native chickens, the effective influence duration of environmental variables during the growth period of native chickens on the growth performance and immune level of native chickens during the growth period is determined; Obtain the environmental parameter values within the effective impact time and the corresponding historical moments, use the environmental parameter values corresponding to the growth performance and the immune level within the effective impact time as the output layer, use the environmental parameter values within the effective impact time and the corresponding historical moments as the input layer, train and converge the neural network model, and obtain the native chicken growth status prediction model corresponding to the growth performance and the immune level; According to the native chicken growth status prediction model, the changing relationship between the environmental parameter values and the growth performance and immune level of the native chicken during its growth period is determined.
6. The method for intelligently controlling the native chicken breeding environment according to claim 5 is characterized in that: Obtaining the effective impact duration includes: According to the environmental parameter values at different historical moments during the growth period of native chickens, several peak values of the environmental parameter values in the historical period and the corresponding historical moments are obtained, and the duration of each adjacent peak interval of the environmental parameter value in the historical period is determined; Based on the growth performance and immune level of native chickens at different historical moments during their growth period, several peak values of the growth performance and the immune level in the historical period and the corresponding historical moments are obtained, and the duration of each adjacent peak interval of the growth performance and the immune level in the historical period is determined; The duration of each adjacent peak interval period of the environmental parameter value in the historical period and the duration of each adjacent peak interval period of the growth performance and the immune level in the historical period are matched with the period duration characteristics and the period duration sequence characteristics, and the lag duration between the change of the environmental parameter value during the growth period of the native chicken and the change of the growth performance and the immune level is obtained as the effective impact duration.
7. The method for intelligently controlling the native chicken breeding environment according to claim 1, characterized in that: The method further includes: The current temperature during the brooding period of the native chickens and the current environmental parameter values during the growing period of the native chickens are visually displayed.
8. An intelligent control system for native chicken breeding environment, characterized in that: include: The brooding period environment control module is used to obtain the heat demand and current temperature of the native chickens during the brooding period, determine the target temperature of the native chickens during the brooding period according to the heat demand, and adjust the current temperature until the target temperature is reached; The optimal environmental parameter acquisition module is used to obtain the environmental parameter values, growth performance and immune level at different historical moments during the growth period of native chickens, determine the change relationship between the environmental parameter values and the growth performance and immune level during the growth period of the native chickens according to the environmental parameter values, the growth performance and the immune level, and obtain the optimal environmental parameter values at different moments during the growth period of the native chickens based on the change relationship; The growth period environment control module is used to obtain the current environment parameter value of the native chicken during the growth period, and adjust the current environment parameter value of the native chicken during the growth period until the optimal environment parameter value is reached.
9. The intelligent control system for native chicken breeding environment according to claim 8 is characterized in that: The system also includes: The visualization display module is used to visualize the current temperature of the native chicken during the brooding period and the current environmental parameter values of the native chicken during the growth period.